Abstract
This paper proposes a global fingerprint feature named QFingerMap that provides fuzzy information about a fingerprint image. A fuzzy rule that combines information from several QFingerMaps is employed to register an individual in a database. Error and penetration rates of a fuzzy retrieval system based on those rules are similar to other systems reported in the literature that are also based on global features. However, the proposed system can be implemented in hardware platforms of very much lower computational resources, offering even lower processing time.
Keywords
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Arjona, R., Baturone, I. (2015). A Fingerprint Retrieval Technique Using Fuzzy Logic-Based Rules. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9119. Springer, Cham. https://doi.org/10.1007/978-3-319-19324-3_14
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DOI: https://doi.org/10.1007/978-3-319-19324-3_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19323-6
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